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International Journal of Frontiers in Engineering Technology, 2024, 6(3); doi: 10.25236/IJFET.2024.060325.

Submarine Position Prediction and Rescue Equipment Optimization Model Based on Dung Beetle Optimizer and Bayes' Theorem


Yuxuan Li, Chenxu Tian

Corresponding Author:
Chenxu Tian

College of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China


This paper investigates the development of safety procedures during the exploration of underwater shipwrecks. First, the dive path and final position of the submarine were successfully predicted by modeling the submarine's acceleration and position prediction. Secondly, based on literature and methodological analysis, the main factors affecting the submarine's position decision, such as continuous wind direction and equipment accuracy, are identified. In terms of equipment solution selection, the cost-effectiveness of equipment carried by the main and rescue boats was evaluated using the CRITIC and VIKOR methods, pointing out that the thermal salinometer and the new unmanned boat were the best choices. Finally, through the Dung Beetle Optimizer and Bayes' Theorem, a statistical model of rescue equipment deployment points and rescue probability was successfully developed, which provides important support for search and rescue operations.


Dung Beetle Optimizer, Bayes' Theorem, CTRIC-VIKOR Method

Cite This Paper

Yuxuan Li, Chenxu Tian. Submarine Position Prediction and Rescue Equipment Optimization Model Based on Dung Beetle Optimizer and Bayes' Theorem. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 191-197. https://doi.org/10.25236/IJFET.2024.060325.


[1] Kingsley S A. Environmental Reviews and Case Studies: Impacts on Maritime Cultural Resources: Assessing the Invisible [J]. Environmental Practice, 2016, 18(3): 184-191.

[2] Kamruzzaman M, Nath M C. A comparative study on numerical solution of initial value problem by using Euler’s method, modified Euler’s method and runge–kutta method [J]. Journal of computer and mathematical sciences, 2018, 9(5): 493-500.

[3] Guiying Z, Ruidi A. Application of Euler Method in Discrete Dynamic Systems [J]. Curriculum and Teaching Methodology, 2023, 6(12): 21-27.

[4] Mukhametzyanov I. Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC and SD [J]. Decision Making: Applications in Management and Engineering, 2021, 4(2): 76-105.

[5] Shumaiza, Akram M, Al-Kenani A N, et al. Group decision-making based on the VIKOR method with trapezoidal bipolar fuzzy information [J]. Symmetry, 2019, 11(10): 1313.

[6] Poupkou A, Zanis P, Nastos P, et al. Present climate trend analysis of the Etesian winds in the Aegean Sea [J]. Theoretical and applied climatology, 2011, 106: 459-472.

[7] Xue J, Shen B. Dung beetle optimizer: A new meta-heuristic algorithm for global optimization [J]. The Journal of Supercomputing, 2023, 79(7): 7305-7336.